The HSF2-HSP110 Axis Promotes Genome Stability by Supporting RNA Polymerase II Dependent Transcription and DNA Repair Gene Expression [CUT&Run]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 15 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 15 samples: 13 distinct titles, 1 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- HSF2-HSP110 axis supports genome stability via RNA polymerase II transcription and DNA repairThe Journal of cell biology · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE326894_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1447552 and SRA study SRP688994. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 15 sample titles: 13 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9642801 K562 cells, Parental
- GSM9642805 K562 cells, sgHSF2-1
- GSM9642809 K562 cells, sgHSF2-2
- GSM9642810 K562 cells, sgHSF2-3
- GSM9642811 K562 cells, Parental-1 IR-2h
- GSM9642812 K562 cells, Parental-2 IR-2h
- GSM9642813 K562 cells, sgHSF2-1 IR-2h
- GSM9642814 K562 cells, sgHSF2-2 IR-2h
- GSM9642815 K562 cells, parental-1 IR-4h
- GSM9642816 K562 cells, parental-2 IR-4h
- GSM9642817 K562 cells, parental-3 IR-4h
- GSM9642818 K562 cells, sgHSF2-1 IR-4h
- GSM9642819 K562 cells, sgHSF2-2 IR-4h
- GSM9642820 K562 cells, sgHSF2-3 IR-4h
- GSM9642821 K562 cells, parental negative control (control IgG)
- GSE294275 Transcriptional analysis of direct NSD2 target genes in t(4;14) multiple myeloma reveals H3K36me2-dependent regulation and H3K27me3 antagonism [CUT&TAG] 40 samples shares cut, transcription, dependent
- GSE278073 Targeting VRK2 Enhances the Efficacy of Anti-PD-1 Therapy in Hepatocellular Carcinoma by Reducing Direct Phosphorylation and Stability of MYC: CUT-TAG sequencing for MYC in hepatocellular carcinoma cells 16 samples shares cut, stability
- GSE267470 Dual targeting of processive transcription for Myc-driven circuitry in medulloblastoma [CUT&RUN] 12 samples shares cut, transcription
- GSE178411 Whole-transcriptome analysis illustrates evolving transcriptional human response to injury in acute wounds and scars 108 samples shares cut, transcription
- GSE270503 Epigenetic heterogeneity and state-specific transcriptional programs determine differential drug response in osteosarcoma [Cut&Run] 56 samples shares cut, transcription
- GSE324154 Therapy Induced Senescence Promotes Immunogenicity in Acute Myeloid Leukemia through Reduced EZH2 Activity 22 samples shares cut, promotes
- GSE310664 Analysis of experimental colorectal liver metastases identifies distinct proliferation independent transcriptional programs in micro- versus macrometastases 22 samples shares transcription, dependent
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples shares cut
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.